Assessment and optimization of wet air oxidation for treatment of landfill leachate concentrated with reverse osmosis

被引:10
作者
Gout, Emilie [1 ]
Monnot, Mathias [1 ]
Boutin, Olivier [1 ]
Vanloot, Pierre [2 ]
Claeys-Bruno, Magalie [2 ]
Moulin, Philippe [1 ]
机构
[1] Aix Marseille Univ, CNRS, Cent Marseille, M2P2, Marseille, France
[2] Aix Marseille Univ, Univ Avignon, CNRS, IRD,IMBE, Marseille, France
关键词
Hybrid process; Landfill leachates; Process intensification; Reverse osmosis; Wet air oxidation; Design of experiments; MUNICIPAL LEACHATE; WASTE-WATER; DEGRADATION; WASTEWATERS;
D O I
10.1016/j.psep.2022.04.046
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Sanitary landfilling is one of the most common ways to eliminate solid municipal/urban wastes. Despite many advantages, this method leads to the generation of contaminated leachates that remains an unavoidable consequence of the waste disposal. Membrane technologies, such as reverse osmosis, are frequently used for leachate treatment as they generate good quality permeate with a high recovery rate. However, their primary drawbacks are fouling, eliminated by chemical wash, and the production of highly polluted concentrates. This paper aims to assess and optimize the use of wet air oxidation to treat reverse osmosis concentrates in terms of bio-refractory organic pollutants removal. Wet air oxidation was performed at elevated pressure and temperature using experimental design methodology with a 70% oxygen excess for 6 h in a stirred batch reactor. The effect of operating conditions was investigated with an experimental design where 3 factors (two quantitative ones: pressure and temperature and a qualitative one: seasonality of the effluent) have been considered. The chemical oxygen demand and the total organic carbon removals increased with the increase of temperature (from 200 degrees C to 300 degrees C) and no effect of the pressure was observed within the range 18 - 21 MPa. Wet air oxidation could achieve up to 99% removals for chemical oxygen demand and total organic carbon for the seasonality of October. Experiments also showed that increasing the initial pollutant concentration increased initial kinetic rates. Finally, models were established to calculate and predict pollution removal rate and its kinetic, in the domain of study. (c) 2022 Institution of Chemical Engineers. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:765 / 774
页数:10
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